作者: Xin Wang , Wei Lu , Martin Ester , Can Wang , Chun Chen
关键词: Tie strength 、 Machine learning 、 Data science 、 Recommender system 、 Social network 、 Artificial intelligence 、 Computer science 、 Interpersonal ties
摘要: With the explosive growth of online social networks, it is now well understood that social information is highly helpful to recommender systems. Social recommendation methods are capable of battling the critical cold-start issue, and thus can greatly improve prediction accuracy. The main intuition is that through trust and influence, users are more likely to develop affinity toward items consumed by their social ties. Despite considerable work in social recommendation, little attention has been paid to the important distinctions between …